Correlation matrix for the correlated systematic uncertainties of the forward rapidity $\eta$ meson cross section.

Correlation matrix for the correlated systematic uncertainties of the central rapidity $\eta$ meson cross section.

The invariant yields of $\phi$ and $\omega+\rho$ mesons as a function of $\langle N_{\rm part}\rangle$ in Au+Au collisions. The systematic uncertainties of type-A (uncorrelated) are combined with statistical uncertainties in quadrature and are labeled as stat. Type-B (correlated) systematic uncertainties are listed as sys.

$R_{AA}$ of $\phi$ meson as a function of $p_T$ for in Au+Au collisions at $\sqrt{s_{_{NN}}}=200$~GeV, compared with Cu+Au collisions at $1.2<|y|<2.2$. The systematic uncertainties of type-A (uncorrelated) are combined with statistical uncertainties in quadrature and are labeled as stat. Type-B (correlated) systematic uncertainties are listed as sys.

$R_{AA}$ of $\phi$ meson as a function of $\langle N_{\rm part}\rangle$ for $1.2<|y|<2.2$ in Au+Au collisions at $\sqrt{s_{_{NN}}}=200$~GeV. The systematic uncertainties of type-A (uncorrelated) are combined with statistical uncertainties in quadrature and are labeled as stat. Type-B (correlated) systematic uncertainties are listed as sys.

Data from Figure 3, panel a, U+U

Data from Figure 3, panel b, Au+Au

Data from Figure 3, panel b, U+U

Data from Figure 6, panel a, 0-0.5% Centrality, 0.2<p_{T}<3 GeV/c

Data from Figure 6, panel b, 0-0.5% Centrality, 0.2<p_{T}<3 GeV/c

Data from Figure 6, panel c, 0-0.5% Centrality, 0.2<p_{T}<3 GeV/c

Data from Figure 22, panel a, U+U/Au+Au

Data from Figure 22, panel a, U+U/Au+Au

Data from Figure 30, upper row panel a, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, upper row panel b, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, upper row panel c, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, upper row panel d, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, middle row panel a, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, middle row panel b, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, middle row panel c, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, middle row panel d, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, lower row panel a, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, lower row panel b, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, lower row panel c, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 30, lower row panel d, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel a, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel a, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel b, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel b, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel c, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel c, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel d, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel d, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel e, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel e, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel f, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel f, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel g, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel g, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel g, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel g, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel i, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel i, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel g, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel g, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel k, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel k, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel l, Au+Au, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 31, panel l, U+U, 2subevent method, 0.2<p_{T}<3 GeV/c

Data from Figure 32, upper row panel a, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, upper row panel b, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, upper row panel c, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, upper row panel d, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, middle row panel a, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, middle row panel b, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, middle row panel c, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, middle row panel d, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, lower row panel a, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, lower row panel b, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, lower row panel c, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 32, lower row panel d, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel a, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel a, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel b, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel b, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel c, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel c, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel d, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel d, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel e, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel e, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel f, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel f, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel g, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel g, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel g, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel g, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel i, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel i, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel g, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel g, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel k, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel k, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel l, Au+Au, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 33, panel l, U+U, 2subevent method, 0.5<p_{T}<3 GeV/c

Data from Figure 34, upper row panel a, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, upper row panel b, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, upper row panel c, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, upper row panel d, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, middle row panel a, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, middle row panel b, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, middle row panel c, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, middle row panel d, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, lower row panel a, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, lower row panel b, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, lower row panel c, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 34, lower row panel d, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel a, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel a, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel b, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel b, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel c, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel c, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel d, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel d, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel e, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel e, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel f, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel f, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel g, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel g, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel g, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel g, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel i, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel i, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel g, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel g, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel k, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel k, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel l, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 35, panel l, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 36, upper row panel a, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, upper row panel b, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, upper row panel c, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, upper row panel d, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, middle row panel a, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, middle row panel b, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, middle row panel c, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, middle row panel d, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, lower row panel a, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, lower row panel b, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, lower row panel c, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 36, lower row panel d, 2subevent method, 0.5<p_{T}<2 GeV/c

Data from Figure 37, panel a, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel a, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel b, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel b, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel c, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel c, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel d, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel d, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel e, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel e, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel f, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel f, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel g, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel g, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel g, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel g, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel i, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel i, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel g, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel g, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel k, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel k, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel l, Au+Au, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 37, panel l, U+U, 2subevent method, 0.2<p_{T}<2 GeV/c

Data from Figure 38, upper row panel a, 2subevent method, four p_{T} ranges

Data from Figure 38, upper row panel b, 2subevent method, four p_{T} ranges

Data from Figure 38, upper row panel c, 2subevent method, four p_{T} ranges

Data from Figure 38, upper row panel d, 2subevent method, four p_{T} ranges

Data from Figure 38, middle row panel a, 2subevent method, four p_{T} ranges

Data from Figure 38, middle row panel b, 2subevent method, four p_{T} ranges

Data from Figure 38, middle row panel c, 2subevent method, 0.2< p_{T} <2 Gev/c, 0.5<p_{T}<2 GeV/c

Data from Figure 38, middle row panel c, 2subevent method, 0.2< p_{T} <3 Gev/c, 0.5<p_{T}<3 GeV/c

Data from Figure 38, middle row panel d, 2subevent method, four p_{T} ranges

Data from Figure 38, lower row panel a, 2subevent method, four p_{T} ranges

Data from Figure 38, lower row panel b, 2subevent method, four p_{T} ranges

Data from Figure 38, lower row panel c, 2subevent method, 0.2< p_{T} <2 Gev/c, 0.5<p_{T}<2 GeV/c

Data from Figure 38, lower row panel c, 2subevent method, 0.2< p_{T} <3 Gev/c, 0.5<p_{T}<3 GeV/c

Data from Figure 38, lower row panel d, 2subevent method, four p_{T} ranges

$\xi$ distributions for different jet $p_T$ bins.

$\xi$ distributions for different jet $p_T$ bins.

The $j_T/p_{T}^{\rm jet}$ distributions for different jet $p_T$ bins.

The $j_T/p_{T}^{\rm jet}$ distributions for different jet $p_T$ bins.

$r$ distributions for different jet $p_T$ bins.

Corrected Yield R=0.5 pi0+jet 15-20 pp at sqrt{s_{NN}}=200 GeV

Corrected Yield R=0.2 gamma+jet 10-15 pp at sqrt{s_{NN}}=200 GeV

Corrected Yield R=0.5 gamma+jet 10-15 pp at sqrt{s_{NN}}=200 GeV

Corrected Yield R=0.5 pi0+jet 10-15 AuAu 0-15% at sqrt{s_{NN}}=200 GeV

Corrected Yield R=0.2 pi0+jet 10-15 AuAu 0-15% at sqrt{s_{NN}}=200 GeV

Corrected Yield R=0.5 pi0+jet 15-20 AuAu 0-15% at sqrt{s_{NN}}=200 GeV

Corrected Yield R=0.2 pi0+jet 15-20 AuAu 0-15% at sqrt{s_{NN}}=200 GeV

Corrected Yield R=0.2 gamma+jet 10-15 AuAu 0-15% at sqrt{s_{NN}}=200 GeV

Corrected Yield R=0.5 gamma+jet 10-15 AuAu 0-15% at sqrt{s_{NN}}=200 GeV

IAA(Δφ) R=0.5 gamma+jet 10-15 GeV/c

IAA(Δφ) R=0.2 gamma+jet 10-15 GeV/c

IAA(Δφ) R=0.5 pi0+jet 10-15 GeV/c

IAA(Δφ) R=0.2 pi0+jet 10-15 GeV/c

IAA(Δφ) R=0.5 pi0+jet 15-20 GeV/c

IAA(Δφ) R=0.2 pi0+jet 15-20 GeV/c

Global polarization of $\Lambda$ and $\bar\Lambda$ and their difference in 20-50\% centrality in Ru+Ru collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Global polarization of $\Lambda$ and $\bar\Lambda$ and their difference in 20-50\% centrality in Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Global polarization of $\Lambda$ and $\bar\Lambda$ and their difference in 20-50\% centrality in Ru+Ru&Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Global polarization of $\Lambda$+$\bar\Lambda$ as a function of centrality in the combined Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV (left panel). The data in Au+Au collisions is from Phys. Rev. C 98 (2018) 014910.

Global polarization of $\Lambda$+$\bar\Lambda$ in 20-50\% centrality centrality in the combined Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV (right panel). The data in Au+Au collisions is from Phys. Rev. C 98 (2018) 014910.

Global polarization of $\Lambda$+$\bar\Lambda$ as a function of the average number of participants $\langle N_{\rm part} \rangle$ in the combined Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV. The data in Au+Au collisions is from Phys. Rev. C 98 (2018) 014910.

The transverse momentum dependence of $\Lambda$+$\bar\Lambda$ $P_{\rm H}$ for 20\%-60\% centrality in the combined Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV, together with the results for Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The data in Au+Au collisions is from Phys. Rev. C 98 (2018) 014910.

The pseudorapidity dependence of $\Lambda$+$\bar\Lambda$ $P_{\rm H}$ for 20\%-60\% centrality in the combined Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV, together with the results for Au+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The data in Au+Au collisions is from Phys. Rev. C 98 (2018) 014910.

The polarization coefficient $P_{y,c0}$ of $\Lambda\!+\!\bar\Lambda$ from method-1 and method-2 as a function of centrality (left panel) in isobar Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV. In this figure, $P_{H}$ is same data as in Figure 4.

The polarization coefficient $P_{y,c0}$ of $\Lambda\!+\!\bar\Lambda$ from method-1 and method-2 for 20-50\% centrality (right panel) in isobar Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV. In this figure, $P_{H}$ is same data as in Figure 4.

The polarization coefficient $P_{y,c2}$ of $\Lambda\!+\!\bar\Lambda$ from method-1 and method-2 as a function of centrality (left panel) in isobar Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV.

The polarization coefficient $P_{y,c2}$ of $\Lambda\!+\!\bar\Lambda$ from method-1 and method-2 for 20-50\% centrality (right panel) in isobar Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV.

Global polarization of $\Xi^{-}$+$\bar\Xi^{+}$ from polarization transfer method and direct measurement method as a function of centrality (left panel) in Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV. In this figure, $P_{H}$ of inclusive $\Lambda+\bar\Lambda$ is same data as in Figure 4.

Global polarization of $\Xi^{-}$+$\bar\Xi^{+}$ from polarization transfer method and direct measurement method for 20-50\% centrality (right panel) in Ru+Ru and Zr+Zr collisions at $\sqrt{s_{NN}}$ = 200 GeV . In this figure, $P_{H}$ of inclusive $\Lambda+\bar\Lambda$ is same data as in Figure 4.

An example of the measured energy distribution in a single OHCal tower, showing the MIP distribution from a GEANT-4 simulation of cosmic-ray muons from EcoMug.

$\frac{dE_T}{d\eta}$ measurements in Au+Au collisions at $\sqrt{s_\mathrm{_{NN}}} = 200$ GeV over the pseudorapidity range $\left|\eta\right| < 1.1$.

Measurement of $\frac{dE_T}{d\eta}$ in 0-5% central Au+Au events as a function of $\eta$ over the range $\left|\eta\right| < 1.1$.

Measured $\frac{dE_T}{d\eta}$ normalized by the estimated number of participant pairs ($0.5$$N_{part}$), as a function of $N_{part}$, using the full calorimeter system.

Measured $\frac{dE_T}{d\eta}$ normalized by the estimated number of participant pairs ($0.5$$N_{part}$), as a function of $N_{part}$, predictions from AMPT.

Measured $\frac{dE_T}{d\eta}$ normalized by the estimated number of participant pairs ($0.5$$N_{part}$), as a function of $N_{part}$, predictions from EPOS.

Measured $\frac{dE_T}{d\eta}$ normalized by the estimated number of participant pairs ($0.5$$N_{part}$), as a function of $N_{part}$, predictions from HIJING.

Corrected distributions of the normalized EEC within jets, differential in $ \left\langle p_{\rm T,jet} \right\rangle R_{L} $ at $R_{\rm jet} =$ 0.6 for one $p_{\rm T, jet}$ selection. Each distribution is normalized to integrate to one in $R_{L}$ prior to shifting.

Corrected distributions of the charge-selected EEC compared with the inclusive case for $R_{\rm jet}$ = 0.6 with a jet transverse momentum selection of 20 $ < p_{\rm T, jet} <$ 30 GeV/c.

Corrected distributions of the EEC charged ratio for $R_{\rm jet}$ = 0.6 with a jet transverse momentum selection of 20 $ < p_{\rm T, jet} <$ 30 GeV/c.

Corrected distributions of the normalized EEC differential in $R_{L}$ for $R_{\rm jet}=$ 0.4, with jet transverse momentum selections 15 $< p_{\rm T, jet} <$ 20 GeV/c and 30 $< p_{\rm T, jet} <$ 50 GeV/c

Corrected distributions of the normalized EEC within jets, differential in $ \left\langle p_{\rm T,jet} \right\rangle R_{L} $ at $R_{\rm jet} =$ 0.4 for one $p_{\rm T, jet}$ selection. Each distribution is normalized to integrate to one in $R_{L}$ prior to shifting.

Corrected distributions of the normalized EEC within jets, differential in $ \left\langle p_{\rm T,jet} \right\rangle R_{L} $ at $R_{\rm jet} =$ 0.4 for one $p_{\rm T, jet}$ selection. Each distribution is normalized to integrate to one in $R_{L}$ prior to shifting.

Corrected distributions of the normalized EEC within jets, differential in $ \left\langle p_{\rm T,jet} \right\rangle R_{L} $ at $R_{\rm jet} =$ 0.4 for one $p_{\rm T, jet}$ selection. Each distribution is normalized to integrate to one in $R_{L}$ prior to shifting.

Corrected distributions of the charge-selected EEC compared with the inclusive case for $R_{\rm jet}$ = 0.4 with a jet transverse momentum selection of 20 $ < p_{\rm T, jet} <$ 30 GeV/c.

Corrected distributions of the EEC charged ratio for $R_{\rm jet}$ = 0.4 with a jet transverse momentum selection of 20 $ < p_{\rm T, jet} <$ 30 GeV/c.

$A_{LL}$ as a function of parton-level invariant mass for dijets with the East barrel-endcap.

$A_{LL}$ as a function of parton-level invariant mass for dijets with the West barrel-endcap.

$A_{LL}$ as a function of parton-level invariant mass for dijets with the endcap-endcap.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at nucleon-nucleon center-of-mass energy from 38.8 GeV to 13 TeV.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH3 at nucleon-nucleon center-of-mass energy from 38.8 GeV to 13 TeV.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 and ISR starting scale SpaceShower:pT0Ref = 1 GeV at nucleon-nucleon center-of-mass energy from 38.8 GeV to 13 TeV.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH3 and ISR starting scale SudakovCommon:pTmin=0.7 GeV at nucleon-nucleon center-of-mass energy from 38.8 GeV to 13 TeV.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 at proton-proton center-of-mass energy 38.8 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 at proton-proton center-of-mass energy 8000 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 at proton-nucleon center-of-mass energy 8160 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters BeamRemnants:PrimordialkThard in Pythia with the underlying-event tune CP5 at proton-nucleon center-of-mass energy 13000 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at proton-proton center-of-mass energy 38.8 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at proton-proton center-of-mass energy 8000 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at proton-nucleon center-of-mass energy 8160 GeV versus the dilepton mass range of the process.

Tuned intrinsic kT parameters ShowerHandler:IntrinsicPtGaussian in Herwig with the underlying-event tune CH2 at proton-proton center-of-mass energy 13000 GeV versus the dilepton mass range of the process.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 38.8 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 62 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 200 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-anti-proton center-of-mass energy 1800 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-anti-proton center-of-mass energy 1960 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 2760 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 8000 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-nucleon center-of-mass energy 8160 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 13000 GeV when fitting to the CMS measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters among various generator settings at proton-proton center-of-mass energy 13000 GeV when fitting to the LHCb measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 38.8 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 62 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 200 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-anti-proton center-of-mass energy 1800 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-anti-proton center-of-mass energy 1960 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 2760 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 8000 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-nucleon center-of-mass energy 8160 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 13000 GeV when fitting to the CMS measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Pythia at proton-proton center-of-mass energy 13000 GeV when fitting to the LHCb measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 38.8 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 62 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 200 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-anti-proton center-of-mass energy 1800 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-anti-proton center-of-mass energy 1960 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 2760 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 8000 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-nucleon center-of-mass energy 8160 GeV.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 13000 GeV when fitting to the CMS measurement.

Covariance of the data uncertainty contribution to the tuned intrinsic kT parameters between the two generator settings of Herwig at proton-proton center-of-mass energy 13000 GeV when fitting to the LHCb measurement.